{"id":"https://openalex.org/W2033449761","doi":"https://doi.org/10.1109/ijcnn.2014.6889663","title":"Statistical approach for reconstruction of dynamic brain dipoles based on EEG data","display_name":"Statistical approach for reconstruction of dynamic brain dipoles based on EEG data","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2033449761","doi":"https://doi.org/10.1109/ijcnn.2014.6889663","mag":"2033449761"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2014.6889663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041531122","display_name":"P\u00e9tia Georgieva","orcid":"https://orcid.org/0000-0002-6424-6590"},"institutions":[{"id":"https://openalex.org/I60858718","display_name":"University of Aveiro","ror":"https://ror.org/00nt41z93","country_code":"PT","type":"education","lineage":["https://openalex.org/I60858718"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Petia Georgieva","raw_affiliation_strings":["Department of Electronics, Telecommunications and Informatics (DETI), University of Aveiro, Aveiro, Portugal","Dept. of Electron., Telecommun. & Inf. (DETI), Univ. of Aveiro, Aveiro, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics, Telecommunications and Informatics (DETI), University of Aveiro, Aveiro, Portugal","institution_ids":["https://openalex.org/I60858718"]},{"raw_affiliation_string":"Dept. of Electron., Telecommun. & Inf. (DETI), Univ. of Aveiro, Aveiro, Portugal","institution_ids":["https://openalex.org/I60858718"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023217241","display_name":"Filipe Silva","orcid":"https://orcid.org/0000-0001-6191-0727"},"institutions":[{"id":"https://openalex.org/I60858718","display_name":"University of Aveiro","ror":"https://ror.org/00nt41z93","country_code":"PT","type":"education","lineage":["https://openalex.org/I60858718"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Filipe Silva","raw_affiliation_strings":["Department of Electronics, Telecommunications and Informatics (DETI), University of Aveiro, Aveiro, Portugal","Dept. of Electron., Telecommun. & Inf. (DETI), Univ. of Aveiro, Aveiro, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics, Telecommunications and Informatics (DETI), University of Aveiro, Aveiro, Portugal","institution_ids":["https://openalex.org/I60858718"]},{"raw_affiliation_string":"Dept. of Electron., Telecommun. & Inf. (DETI), Univ. of Aveiro, Aveiro, Portugal","institution_ids":["https://openalex.org/I60858718"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006505402","display_name":"Lyudmila Mihaylova","orcid":"https://orcid.org/0000-0001-5856-2223"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lyudmila Mihaylova","raw_affiliation_strings":["Department of Automatic Control and Systems Engineering, University of Sheffield, UK","Dept. of Autom. Control & Syst. Eng, Univ. of Sheffield, Sheffield, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automatic Control and Systems Engineering, University of Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]},{"raw_affiliation_string":"Dept. of Autom. Control & Syst. Eng, Univ. of Sheffield, Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041401460","display_name":"Nidhal Bouaynaya","orcid":"https://orcid.org/0000-0002-8833-8414"},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nidhal Bouaynaya","raw_affiliation_strings":["College of Engineering, Rowan University, USA","Coll. of Eng., Rowan Univ., Glassboro, NJ, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Rowan University, USA","institution_ids":["https://openalex.org/I44265643"]},{"raw_affiliation_string":"Coll. of Eng., Rowan Univ., Glassboro, NJ, USA#TAB#","institution_ids":["https://openalex.org/I44265643"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08440997,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2592","last_page":"2599"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7427245378494263},{"id":"https://openalex.org/keywords/dipole","display_name":"Dipole","score":0.5816106200218201},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5602998733520508},{"id":"https://openalex.org/keywords/brain-activity-and-meditation","display_name":"Brain activity and meditation","score":0.5357185006141663},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.45127102732658386},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4471215009689331},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4430849850177765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4080832600593567},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.3104891777038574},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3014857769012451},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2274024784564972},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.141269713640213},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12335321307182312}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7427245378494263},{"id":"https://openalex.org/C173523689","wikidata":"https://www.wikidata.org/wiki/Q215589","display_name":"Dipole","level":2,"score":0.5816106200218201},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5602998733520508},{"id":"https://openalex.org/C120843803","wikidata":"https://www.wikidata.org/wiki/Q4955807","display_name":"Brain activity and meditation","level":3,"score":0.5357185006141663},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.45127102732658386},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4471215009689331},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4430849850177765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4080832600593567},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.3104891777038574},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3014857769012451},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2274024784564972},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.141269713640213},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12335321307182312},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2014.6889663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1993758357","https://openalex.org/W2009578573","https://openalex.org/W2051602411","https://openalex.org/W2095140753","https://openalex.org/W2096710051","https://openalex.org/W2126736494","https://openalex.org/W2138915055","https://openalex.org/W2140998754","https://openalex.org/W2152103705","https://openalex.org/W2161596343","https://openalex.org/W2164868742","https://openalex.org/W2170897798","https://openalex.org/W2171191044","https://openalex.org/W4236173595"],"related_works":["https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2130428257","https://openalex.org/W4308951944","https://openalex.org/W2057366091","https://openalex.org/W2466887110","https://openalex.org/W2068485906","https://openalex.org/W2314032432","https://openalex.org/W4312548550","https://openalex.org/W2335893660"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,30,34,69],"statistical":[6],"approach":[7],"to":[8,86,103],"reconstruct":[9],"the":[10,24,44,55,60,72,89,98,106,112,115,126],"brain":[11,21,39,78,90],"neuronal":[12],"activity":[13,26],"based":[14],"only":[15],"on":[16,92],"recorded":[17],"EEG":[18,45],"data.":[19],"The":[20,62],"zones":[22],"with":[23],"strongest":[25],"are":[27,51],"expressed":[28],"at":[29],"macro":[31],"level":[32],"by":[33,75],"few":[35],"number":[36,113],"of":[37,54,114],"active":[38,116],"dipoles.":[40],"Normally,":[41],"for":[42],"solving":[43],"inverse":[46],"problem,":[47],"fixed":[48],"dipole":[49],"locations":[50,120],"assumed,":[52],"independently":[53],"different":[56],"stimuli":[57,94],"that":[58,95],"excite":[59],"brain.":[61,99],"proposed":[63,107],"particle":[64],"filter":[65],"(PF)":[66],"framework":[67],"presents":[68],"shift":[70],"in":[71,88,101,125],"current":[73],"paradigm":[74],"estimating":[76],"dynamic":[77],"dipoles,":[79,117],"which":[80],"may":[81,96],"vary":[82],"from":[83],"one":[84],"location":[85],"another":[87],"depending":[91],"internal/external":[93],"affect":[97],"Also,":[100],"contrast":[102],"previous":[104],"solutions,":[105],"PF":[108],"algorithm":[109],"estimates":[110],"simultaneously,":[111],"their":[118,122],"moving":[119],"and":[121],"respective":[123],"oscillations":[124],"three":[127],"dimensional":[128],"head":[129],"geometry.":[130]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}